RisingTransfers
AI DNA Similarity

Best Alternatives to Glen Kamara

Players most similar to Glen Kamara (Midfielder, €2.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Glen Kamara

  1. 1.Manu Molina87% DNA match·Eldense
  2. 2.Stephen Eustaquio87% DNA match·Los Angeles FC€7.0M
  3. 3.Nicolò Rovella 87% DNA match·Lazio€23.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

???Bottom 0%

A Metronome....

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Playing Style Analysis

MetronomeDefensiveSmall Sample

A Metronome. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (55% duel success) and heavily involved in play (67 touches/90). Note: this profile is based on 662 minutes of playing time this season. The three most similar players to Glen Kamara by playing style are:

  • Manu Molina(87% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), wins the physical battle (60% duel success), heavily involved in possession (64 passes/90), central to possession (79 touches/90) and switches play with precision (9.3 long balls/90, 70% accuracy).
  • Stephen Eustaquio(87% match)A Metronome. Statistically, he stands out as active in the tackle (2.5 tackles/90), meticulous in distribution (89% pass accuracy), heavily involved in possession (65 passes/90), creates high-quality scoring opportunities (0.57 big chances/90) and central to possession (78 touches/90).
  • Nicolò Rovella (87% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (2.8 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (55% duel success), heavily involved in possession (66 passes/90), central to possession (81 touches/90), switches play with precision (5.7 long balls/90, 61% accuracy), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league.

Transfer Intelligence

Stephen Eustaquio delivers 87% of the same playing style, at a 180% premium over Glen Kamara, with 0.84 key passes per 90 at age 29.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

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Comparison Base
Glen Kamara
MidfielderFinland€2.5M
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Similar Players — Ranked by DNA Similarity

Ask AI: Why are these players similar?

Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Glen Kamara.

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Frequently Asked Questions

Who are the best alternatives to Glen Kamara?
The top alternatives to Glen Kamara based on AI DNA playing style analysis include: Manu Molina, Stephen Eustaquio, Nicolò Rovella , Seko Fofana, Oskar Boesen. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.
Which players are similar to Glen Kamara in 2026?
Players with a similar profile to Glen Kamara in 2026 include Manu Molina (N/A), Stephen Eustaquio (€7.0M), Nicolò Rovella  (€23.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Glen Kamara play and who plays similarly?
Glen Kamara plays as a Midfielder. Players with a comparable positional profile include Manu Molina (Spain, N/A); Stephen Eustaquio (Canada, €7.0M); Nicolò Rovella  (Italy, €23.0M); Seko Fofana (Ivory Coast, €8.0M).
How does Rising Transfers find similar players?
Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.